Is the training Qualiopi certified?

Yes, Learni is a Qualiopi-certified training organization. This certification guarantees the quality of our courses and enables funding through OPCO and other mechanisms.

What is the duration of the Training Python Expert - Optimize Advanced AI Apps training?

The Training Python Expert - Optimize Advanced AI Apps training takes place over 28 hours. The program is structured in progressive modules for optimal skill development.

How can I fund my training?

Our courses are eligible for OPCO funding. Learni supports you through the funding process. A personalized quote is available upon request.

What are the prerequisites for this training?

The prerequisites for the Training Python Expert - Optimize Advanced AI Apps training are: Intermediate Python mastery (OOP, decorators, generators), data science experience, Git basics and virtual environments.. A preliminary interview validates your eligibility.

What are the objectives of the Training Python Expert - Optimize Advanced AI Apps training?

The objectives of the Training Python Expert - Optimize Advanced AI Apps training are: Master metaprogramming for custom code. Optimize performance with Cython and Numba. Implement asynchronous concurrency via asyncio. Develop ML pipelines with scikit-learn and TensorFlow. Apply advanced design patterns in microservices. Manage big data via Pandas and Dask. Deploy scalable applications on cloud. Upon completion, you will be able to put these skills into practice.

Is the training available in person?

Yes, the Training Python Expert - Optimize Advanced AI Apps training is available in remote. The format can be adapted to your needs (inter, intra, custom).

Training Python Expert - Optimize Advanced AI Apps | Learni

The story of Learni

Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.

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Methods, approaches, and teaching resources

The Training Python Expert - Optimize Advanced AI Apps training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.

The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.

Teaching resources provided

To ensure the quality of the Training Python Expert - Optimize Advanced AI Apps training, Learni provides the following teaching resources:

Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, video projector or interactive touchscreen (for remote sessions)
Training environments installed on workstations or accessible online
Course materials, practical exercises, and supplementary resources
Post-training access to materials and teaching resources

For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.

* contact us for remote feasibility** ratio varies depending on the training followed

Assessment methods

The assessment of skills acquired during the Training Python Expert - Optimize Advanced AI Apps training is carried out through:

During training: case studies, practical exercises, and professional scenarios
At the end of training: self-assessment questionnaire and skills evaluation by the trainer
After training: training completion certificate detailing acquired skills

Training accessibility

Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.

Training access terms and deadlines

Training program

Module 1Advanced Programming: Metaprogramming and Optimization (decorators, metaclasses, Cython)

Dive into Python's secrets, code decorators to monitor performance in real-time, create dynamic metaclasses for custom frameworks, test Cython on slow algorithms to accelerate x10, refactor legacy code via practical workshops, produce an optimized module ready to integrate, gain immediate efficiency.

Module 2Concurrency and Asynchronism: multiprocessing, asyncio (GIL, queues, websockets)

Unleash multi-core potential, implement multiprocessing for CPU-intensive tasks, master asyncio for non-blocking I/O with smooth coroutines, manage real-time websockets via chatbot exercises, bypass GIL with advanced patterns, develop scalable app simulating live data streams, deliverable: performant asynchronous service.

Module 3Advanced Data Science and ML: Pandas, NumPy, scikit-learn (pipelines, feature engineering)

Transform massive data, chain Pandas and Dask for giant datasets without crashes, optimize feature engineering with vectorized NumPy, build end-to-end ML pipelines via scikit-learn and TensorFlow, validate models on real Kaggle datasets, predict via predictive exercises, export deployable models, boost professional project accuracy.

Module 4Architecture and Deployment: Design Patterns, Docker, Cloud (FastAPI, Kubernetes basics)

Structure enterprise apps, apply patterns like observer and strategy in pure Python, microservices with secure FastAPI RESTful, containerize via Docker and orchestrate Kubernetes intro, deploy on AWS Lambda via guided labs, test CI/CD GitHub Actions, finalize complete scalable project, leave with impactful portfolio.